error converting VAE on some recent SD 1.x models

[ssube]

[2023-08-15 12:30:26,752] INFO: 3975261 140600755074880 onnx_web.convert.diffusion.checkpoint: converting VAE   
[2023-08-15 12:30:27,143] ERROR: 3975261 140600755074880 onnx_web.convert.diffusion.checkpoint: error setting up output                                                                                                                                                              
Traceback (most recent call last):                                                                                                        
  File "/opt/onnx-web/api/onnx_web/convert/diffusion/checkpoint.py", line 1570, in extract_checkpoint           
    vae.load_state_dict(converted_vae_checkpoint)                                                                                                                                                                                                                                    
  File "/home/ssube/miniconda3/envs/onnx-web-rocm-pytorch2/lib/python3.9/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(                                   
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:                                                                                                                                                                                                                      
        Missing key(s) in state_dict: "encoder.mid_block.attentions.0.to_q.weight", "encoder.mid_block.attentions.0.to_q.bias", "encoder.mid_block.attentions.0.to_k.weight", "encoder.mid_block.attentions.0.to_k.bias", "encoder.mid_block.attentions.0.to_v.weight", "encoder.mid_
block.attentions.0.to_v.bias", "encoder.mid_block.attentions.0.to_out.0.weight", "encoder.mid_block.attentions.0.to_out.0.bias", "decoder.mid_block.attentions.0.to_q.weight", "decoder.mid_block.attentions.0.to_q.bias", "decoder.mid_block.attentions.0.to_k.weight", "decoder.mid
_block.attentions.0.to_k.bias", "decoder.mid_block.attentions.0.to_v.weight", "decoder.mid_block.attentions.0.to_v.bias", "decoder.mid_block.attentions.0.to_out.0.weight", "decoder.mid_block.attentions.0.to_out.0.bias". 
        Unexpected key(s) in state_dict: "encoder.mid_block.attentions.0.key.bias", "encoder.mid_block.attentions.0.key.weight", "encoder.mid_block.attentions.0.proj_attn.bias", "encoder.mid_block.attentions.0.proj_attn.weight", "encoder.mid_block.attentions.0.query.bias", "en
coder.mid_block.attentions.0.query.weight", "encoder.mid_block.attentions.0.value.bias", "encoder.mid_block.attentions.0.value.weight", "decoder.mid_block.attentions.0.key.bias", "decoder.mid_block.attentions.0.key.weight", "decoder.mid_block.attentions.0.proj_attn.bias", "dec
oder.mid_block.attentions.0.proj_attn.weight", "decoder.mid_block.attentions.0.query.bias", "decoder.mid_block.attentions.0.query.weight", "decoder.mid_block.attentions.0.value.bias", "decoder.mid_block.attentions.0.value.weight". 
[2023-08-15 12:30:27,144] ERROR: 3975261 140600755074880 onnx_web.convert.diffusion.checkpoint: pipeline or config is not set, unable to continue
[2023-08-15 12:30:27,291] ERROR: 3975261 140600755074880 onnx_web.convert.diffusion.checkpoint: unable to convert checkpoint to Torch model

[ssube]

This can be fixed for now with set ONNX_WEB_CONVERT_EXTRACT=FALSE or export ONNX_WEB_CONVERT_EXTRACT=FALSE.

I need to switch that flag to false by default for v0.11.